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94e2515e4cd5e5b861fe309bceebb1472845efe87bc66e4c3058996c5b623661
2018-04
0
nan
train
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d2c37882ff31e879807d5af6e7369c7f0a60b9cdb511ceb99d006254e3c3cb32
2018-04
0
nan
train
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1
ee6b54022f196eb6bc83dfb243c635362fb5f49c8741d5b5c26813d0236ce25c
2018-04
1
vibem
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3981d1d1cce78c3bc62a53b487381f833a2290e5804b2cb31952b502df8a473b
2018-04
0
nan
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2018-04
0
nan
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7c0d1a0d8b812dffc751cfa50143811a285dcc355083c617e86eec1d8978ada7
2018-04
1
vtflooder
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5fd40c3b7793ef7a103cee4ade7d91bec56fb2a048f3954b131570452444d940
2018-04
-1
vtflooder
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0f9d09b5011fc9470058a32d3659029b595f6e54fc07c4a552c5ba1a84050a40
2018-04
-1
vtflooder
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-1
8e32ed2c772bbb30214ce25f1b10a630df28573fec86df817dd8727ea5e7dfb6
2018-04
-1
filetour
train
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0
140ea16038a4d21b627100e50b832dfaf06090f135ae6abaaa247a39e995fa72
2018-04
0
nan
train
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-1
8599c94358f5259d412c6431c3988e091a0033be42bd424e9a41f382a863f1a3
2018-04
-1
nan
train
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1
6d0ca520425debe9326c44d53f5997d04d2d2356c8a080aefb74c4f003f53720
2018-04
1
nan
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1
2fa3fdb3a861c7efb54e92254d031dd9128b96335b7b6cc06f8c7c5098f026cc
2018-04
1
dovs
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0
178f7158b1d167d9db3474b402c2d39d2880524f97f650ade42f257089279921
2018-04
0
nan
train
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1
329151bf456170a0d5a6d370df311e0b0c628e484aa32ca7c086ba249bfba286
2018-04
1
zusy
train
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1
ed3859feb395200e9175297cbe713767166c999016e45a9ff9e854a083f724e1
2018-04
1
fareit
train
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-1
38261f16884a89802a21d2f7fd5beaacb9508260acbac08decb61b6f44fbe2c4
2018-04
-1
vtflooder
train
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1
1b628f839a897f43e72491ca1251b7c6ca9afe1979d1ce29dbd78d502339daf3
2018-04
1
vtflooder
train
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1
187d8ef858e358b448586b961719f6635476c531c86b3215f14be602d47b919c
2018-04
1
bladabindi
train
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-1
21c6f9f7076506aee400b84c808075911e7635b996571e39207446faf6dbc08e
2018-04
-1
nan
train
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1
fbdd77689688b165c84a50a65c98bc145578b170fb64ff64a83e0bbb6f73847b
2018-04
1
installcore
train
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0
1b81006fe73f1231a3a2d7daf4ee8c63f011e4fb6d0356a1cf483c36fa506c5b
2018-04
0
nan
train
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1
cbcefcbd6c482f48eb467071eb500b089fd2dfec95bbab40cdae481818775316
2018-04
1
gamemodding
train
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1
ed0f58a82439ad0a636c1b5b89bade39734f206cfbb9affb2f315a06e975c1c2
2018-04
1
high
train
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1
74a2f75f805b5f28176761ee71001275e6a06d97fe5a1891f98e0b6b954bdf7f
2018-04
1
jaiko
train
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1
515daf58b2e5c29974028e2695c73d4166c8a7afff0ec174b9d062c7af30677c
2018-04
1
zusy
train
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-1
d280467c52dae57d007c406427bf02e5cd4312d65295dd87f60a787769a0d2e8
2018-04
-1
nan
train
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0
a09e60ac6cc248bec2706eda1940da91e34cd916174764bf24f85abc6883b4f0
2018-04
0
nan
train
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-1
4586328925b86fcb599d6e82e29975ecbe5c8438104df37b4f791372bbdc02f7
2018-04
-1
midie
train
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0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
-1
2a759a424a797049f65e736752ed9fbb89a87c32731ca832bb57b30b4d63edc1
2018-04
-1
vtflooder
train
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0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.0057271426 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.0049089794 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.00153405...
-1
8a1b6c1fc1bb1453f4ceda6af9494ace396ece89048fdbc4d7d4fc581496bc4f
2018-04
-1
vtflooder
train
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1
0239f4cf7e19938aa734e7bcb040eebe890a0aeaadc1aa1322bc314ad465d51c
2018-04
1
zusy
train
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1
144370571c8b76a010075b52567178bd4e0473e65b90f464002ebb4273f3287f
2018-04
1
adposhel
train
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0
94afcf508f57e38773d901a02debd71390256c09aed33455526c513c1252f992
2018-04
0
nan
train
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1
b46bd4c16e24d34363dc854fc334698409e80af888de2715e491767b382a0a29
2018-04
1
vtflooder
train
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-1
25653e79c308ecbdf58425249ef9de3aeac45317ba055af30eb60dfa4830c580
2018-04
-1
nan
train
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1
a632546d80c0d53a0974bda7490eafd69bc4056ecd75dee9cb154f695fa29f7d
2018-04
1
filetour
train
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0.0049467464 0.003749352 0.003596036 0.0038777045 0.0036662817 0.0038297307 0.0037352077 0.003987321 0.003586853 0.0037986452 0.003728769 0.0038506829 0.0036019997 0.0038758046 0.0038562245 0.004183228 0.0035351845 0.00360923 0.0037366855 0.003857966 0.0038338471 0.003766346 0.0037256551 0.0039353366 0.0035844252 0.003...
0
6855e4f1fd3ab82b1b0429698722f56812b5bb2cee25f111c4b565346b462cdb
2018-04
0
nan
train
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0
7e3c6b2ec73615e6365eeb2ea9f0f0216b6ec8abe35a8bae50c473d2bb58983c
2018-04
0
nan
train
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1
b551a51d12525e95607dacf7d42914a31cb9b20ac541451080856474b6ae35dd
2018-04
1
dealply
train
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0
0991ceba7e95b45e94ad37b980328e0d0983743520c117242891856e549776ee
2018-04
0
nan
train
[ 0.02909795008599758, 0.005866094958037138, 0.005259622819721699, 0.0048607815988361835, 0.0043480610474944115, 0.003964580129832029, 0.003912142477929592, 0.003932270221412182, 0.004286619368940592, 0.0036917999386787415, 0.003822098718956113, 0.0037288768216967583, 0.0038305732887238264, ...
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0
037ff34e7d77de195dcdd41f11aa1f050ed65d8133f2a2b794f4c03d997cb283
2018-04
0
nan
train
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1
c83db345ad8728c365f1ade73c479101b191c21589765f31ecc99960205ddd89
2018-04
1
tinyloader
train
[ 0.3173113465309143, 0.024485519155859947, 0.00524009158834815, 0.0035727897193282843, 0.006097560748457909, 0.0021436738315969706, 0.0022865852806717157, 0.0016196646029129624, 0.011480564251542091, 0.0020483992993831635, 0.002524771261960268, 0.0014291158877313137, 0.004716082476079464, 0...
0.31731135 0.02448552 0.0052400916 0.0035727897 0.0060975607 0.0021436738 0.0022865853 0.0016196646 0.011480564 0.0020483993 0.0025247713 0.0014291159 0.0047160825 0.002477134 0.0014291159 0.0050019054 0.0089557925 0.0028105946 0.0011909299 0.00071455794 0.002429497 0.004334985 0.0009527439 0.0010956555 0.0070503047 0....
-1
056632882c3a58c9df937be5ababeca1362dc8d27a13668e68a5b36e7630ee9c
2018-04
-1
virut
train
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0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
ddccc5786e0ed65a492084d74523a50ca6d9b513a2ce717568a15b04b0218597
2018-04
1
vtflooder
train
[ 0.05984879285097122, 0.007378219161182642, 0.004843549802899361, 0.005491784308105707, 0.005885094869881868, 0.0033140077721327543, 0.0032338888850063086, 0.00469787884503603, 0.0037218856159597635, 0.003707318566739559, 0.00321203819476068, 0.0038966904394328594, 0.0035033796448260546, 0....
0.059848793 0.007378219 0.00484355 0.0054917843 0.005885095 0.0033140078 0.003233889 0.004697879 0.0037218856 0.0037073186 0.0032120382 0.0038966904 0.0035033796 0.00315377 0.0028551451 0.009169969 0.003372276 0.003015383 0.0029134133 0.0035179467 0.0040350775 0.0033358582 0.0027021908 0.003481529 0.003124636 0.0034669...
1
b3ebad874016655f56f6e585c87c3d324cf0198318c388db288f553826112989
2018-04
1
byfh
train
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-1
9b134e6796b4afb2bfee49ffbce6659ca1363c75578e901f70a358a8db470dbe
2018-04
-1
byfh
train
[ 0.18077276647090912, 0.01274001132696867, 0.0075013404712080956, 0.008546348661184311, 0.011113433167338371, 0.004084618296474218, 0.003980117384344339, 0.003784746630117297, 0.01368506159633398, 0.0021990605164319277, 0.002535280305892229, 0.002630694070830941, 0.00775577686727047, 0.0021...
0.18077277 0.012740011 0.0075013405 0.008546349 0.011113433 0.0040846183 0.0039801174 0.0037847466 0.013685062 0.0021990605 0.0025352803 0.002630694 0.007755777 0.0021808865 0.0016038602 0.016883695 0.008841677 0.0016265777 0.0018901015 0.0013312494 0.0041118795 0.0036620717 0.0010722692 0.00070424454 0.0029169356 0.00...
-1
05177f933ffb70a44d8b356605e65e6119bb775d5c4a0c8163ea72befb6d66f7
2018-04
-1
nan
train
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0
2e7eba445077b85d57707268a3d33425f5672af1c7732a0bc2a7c70327ac08f5
2018-04
0
nan
train
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0.3007542 0.0109304935 0.0062933145 0.004254994 0.005452507 0.0069812476 0.0046881367 0.0020637994 0.004382389 0.0020637994 0.0037454139 0.0017580513 0.0018344884 0.0041021197 0.0013503872 0.0061404402 0.004535263 0.0015542193 0.0015542193 0.0019618834 0.0016306563 0.0064716674 0.0012229922 0.00078984915 0.0021402366 0...
0
33868cdb2a1c477a9b076a20e417de61f27b8273f0bc838e0f99f83e72b109e8
2018-04
0
nan
train
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-1
18d281b4cb4a2e81e650fca6d00268d36f99a51661ce5e911fb08c66627d3c96
2018-04
-1
nan
train
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0.015114789 0.002119615 0.0016353618 0.0012531508 0.0011913883 0.00069191825 0.0007125057 0.0007348834 0.0011582694 0.00064447755 0.0006203096 0.0006498482 0.0009774576 0.00070355466 0.00059972215 0.0011869128 0.0017562013 0.0006033026 0.0007599464 0.00068475737 0.000756366 0.0006570091 0.000564813 0.0005397499 0.00074...
1
fb6b75c40e8ebd517b57bd732451c4794de73c04865ae8b89196094991af638a
2018-04
1
adposhel
train
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0.26933196 0.022082271 0.018773915 0.0075334823 0.009925064 0.006337691 0.01690051 0.0065768496 0.0056600766 0.0037468113 0.01307398 0.0042251274 0.0030691964 0.0033482143 0.009406888 0.002232143 0.0044244262 0.007334184 0.009646046 0.0031887756 0.0017538265 0.003507653 0.002072704 0.0022720026 0.0018734057 0.000797193...
0
36b714f3344e81453524efd914c098c4f3b8e168caeb102097aed4165a5b61e6
2018-04
0
nan
train
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-1
33a17c36319625bc8fa82744c9d77722a1ea404d2034970b1feb613e3e139817
2018-04
-1
nan
train
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0.44455484 0.009950835 0.003670528 0.0056404904 0.0082671065 0.0030980604 0.002003637 0.0021551724 0.009159483 0.001481681 0.0018184268 0.0022056843 0.005724677 0.0020373114 0.0010607489 0.004933324 0.0054721176 0.00095972524 0.0006061422 0.0013301455 0.0039230874 0.005320582 0.0011280981 0.0007408405 0.0029128501 0.00...
-1
245448921d455e36233f87aea1c0fcf5e6ae75b949215bcf37d0afa2d367095a
2018-04
-1
nan
train
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0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.002249949 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 0...
1
da623dab82875362add1546be04904ff1e022b8985bc18b19d092ac1081a9538
2018-04
1
vtflooder
train
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0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.0067498465 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056...
1
0203e11564cfc5399097b55339b10b9bdb110b47f745aef9455d0c18fd4f9caa
2018-04
1
vtflooder
train
[ 0.2136276215314865, 0.013516349717974663, 0.01375994086265564, 0.017859557643532753, 0.01932656764984131, 0.01629260554909706, 0.015434573404490948, 0.020781513303518295, 0.02100871317088604, 0.008440547622740269, 0.01436277199536562, 0.005703447852283716, 0.01190295722335577, 0.0018843028...
0.21362762 0.01351635 0.013759941 0.017859558 0.019326568 0.016292606 0.015434573 0.020781513 0.021008713 0.008440548 0.014362772 0.005703448 0.011902957 0.0018843028 0.0011696928 0.0019459975 0.0041478793 0.0016775918 0.0013921121 0.0009884792 0.0013686636 0.0020158875 0.0015018419 0.0007376032 0.0012147686 0.00074602...
0
4201ed51fe0c097297d1a60b0b6375bdf9d88c3fe8417df6869ff64ee00ee916
2018-04
0
nan
train
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-1
d050b69c1656535e611a6a9ef1c66872b57d36babcd77ff61b72680fbdcd06dc
2018-04
-1
nan
train
[ 0.04529069736599922, 0.004866574890911579, 0.004075582604855299, 0.004745954647660255, 0.003924807067960501, 0.0035490277223289013, 0.003755474230274558, 0.003667328506708145, 0.003702122950926423, 0.0034376855473965406, 0.0035026350524276495, 0.0033912931103259325, 0.003430726705119014, 0...
0.045290697 0.004866575 0.0040755826 0.0047459546 0.003924807 0.0035490277 0.0037554742 0.0036673285 0.003702123 0.0034376855 0.003502635 0.003391293 0.0034307267 0.003379695 0.0035119136 0.0035072744 0.0037114015 0.0034353659 0.0036046987 0.0035536669 0.0034400052 0.0031059792 0.0035258313 0.003324024 0.0033843343 0.0...
1
57ce63a8b8e6b4f30db8d8968b86ac1e4f55d0f0ecf9c2cbb10f3e820cc74bf7
2018-04
1
disfa
train
[ 0.09901927411556244, 0.004536173772066832, 0.0038247944321483374, 0.0022427451331168413, 0.004300857428461313, 0.0011295180302113295, 0.005008616019040346, 0.0012290749000385404, 0.002148618455976248, 0.0010390118695795536, 0.01024168822914362, 0.0009159233304671943, 0.0026518332306295633, ...
0.099019274 0.004536174 0.0038247944 0.0022427451 0.0043008574 0.001129518 0.005008616 0.0012290749 0.0021486185 0.0010390119 0.010241688 0.00091592333 0.0026518332 0.0005557084 0.002184821 0.002878099 0.0006625058 0.005426755 0.0013087204 0.011525067 0.00032582253 0.00059372105 0.004429376 0.003298048 0.0012743281 0.0...
0
106bf79c25f0c0842087423aafe17093ef56cb8d4c1cffeaf781a602f192b828
2018-04
0
nan
train
[ 0.060329172760248184, 0.007437644526362419, 0.004859164357185364, 0.005541916470974684, 0.00589781953021884, 0.0033556560520082712, 0.0032612327486276627, 0.00470663420855999, 0.0037406121846288443, 0.003697032108902931, 0.003232179442420602, 0.003900405252352357, 0.003493659198284149, 0.0...
0.060329173 0.0074376445 0.0048591644 0.0055419165 0.0058978195 0.003355656 0.0032612327 0.004706634 0.0037406122 0.003697032 0.0032321794 0.0039004053 0.0034936592 0.0031595463 0.0028544865 0.009144526 0.0033629192 0.003021543 0.0029343832 0.0035299757 0.0040384084 0.0033266027 0.0027019568 0.0034936592 0.0031159662 0...
-1
1ba76eaf7b1f0474529190bea21dd218646671e1d640f4cce4a01670b66ab930
2018-04
-1
byfh
train
[ 0.2130594700574875, 0.011005451902747154, 0.006517053581774235, 0.006162039004266262, 0.007607455365359783, 0.004361607600003481, 0.00291619123890996, 0.0028147585690021515, 0.0117154810577631, 0.0022822367027401924, 0.0027133256662636995, 0.0027640420012176037, 0.006085964385420084, 0.002...
0.21305947 0.011005452 0.0065170536 0.006162039 0.0076074554 0.0043616076 0.0029161912 0.0028147586 0.011715481 0.0022822367 0.0027133257 0.002764042 0.0060859644 0.002764042 0.0019779385 0.008926081 0.0058323825 0.0021808038 0.0012171929 0.0011157601 0.0038798023 0.009483961 0.0016482819 0.0004818055 0.0029669076 0.00...
1
085d1b787d80e0f89ad70d39edfc5c9b1cf9905a094f31e92c0a7a0a478cefae
2018-04
1
nan
train
[ 0.015112102963030338, 0.0021106640342622995, 0.001757991500198841, 0.0012629969278350472, 0.0010750243673101068, 0.0007545757689513266, 0.0006865476025268435, 0.0006426873151212931, 0.0011511085322126746, 0.0006767014274373651, 0.000730407889932394, 0.0005880857352167368, 0.00093359733000397...
0.015112103 0.002110664 0.0017579915 0.0012629969 0.0010750244 0.00075457577 0.0006865476 0.0006426873 0.0011511085 0.0006767014 0.0007304079 0.00058808574 0.00093359733 0.000789485 0.00056033744 0.0011448427 0.0016792221 0.00058182003 0.000880786 0.0007241421 0.0007080302 0.0006722259 0.00056660315 0.00050394563 0.000...
1
bbbc177b3d395d77744829f1944b81724efee0db40f1b9859ae5bcc70bc4e581
2018-04
1
adposhel
train
[ 0.17965397238731384, 0.029260143637657166, 0.013429798185825348, 0.005365281831473112, 0.009220540523529053, 0.004563255235552788, 0.0038939774967730045, 0.00217929994687438, 0.01143855880945921, 0.0017755210865288973, 0.0012998363235965371, 0.0015985220670700073, 0.007085490506142378, 0.0...
0.17965397 0.029260144 0.013429798 0.005365282 0.0092205405 0.0045632552 0.0038939775 0.0021793 0.011438559 0.0017755211 0.0012998363 0.0015985221 0.0070854905 0.001747865 0.0012887738 0.0037114474 0.0263286 0.0014436479 0.00079096423 0.0012943051 0.0038110092 0.0027545467 0.0010454003 0.0010066817 0.0017810522 0.00245...
0
6186d5a7d9b9be9b691b51723cabc7e659ed19cf178a258d2e2c58e692719f07
2018-04
0
nan
train
[ 0.227118581533432, 0.0242072232067585, 0.012545546516776085, 0.00883870292454958, 0.00836971029639244, 0.0036346910055726767, 0.004735019523650408, 0.0020112558268010616, 0.008960460312664509, 0.0012807099847123027, 0.0018308741273358464, 0.0012716909404844046, 0.005109311081469059, 0.0022...
0.22711858 0.024207223 0.0125455465 0.008838703 0.00836971 0.003634691 0.0047350195 0.0020112558 0.00896046 0.00128071 0.0018308741 0.0012716909 0.005109311 0.0022818283 0.0011860096 0.0055106604 0.028671669 0.00078916986 0.0005231069 0.0010913092 0.0037789964 0.00649825 0.0008838703 0.0007801508 0.0028725783 0.0010371...
0
367f73c39fcbcd55bc72290a29938339b8812f47c23dc24202b8f30115b2752a
2018-04
0
nan
train
[ 0.027894269675016403, 0.006448593456298113, 0.004281841684132814, 0.004376048222184181, 0.004804536700248718, 0.003962754737585783, 0.00436085369437933, 0.003771302755922079, 0.004500644281506538, 0.0036254345905035734, 0.00393540458753705, 0.00371660222299397, 0.00451279990375042, 0.00377...
0.02789427 0.0064485935 0.0042818417 0.004376048 0.0048045367 0.0039627547 0.0043608537 0.0037713028 0.0045006443 0.0036254346 0.0039354046 0.0037166022 0.0045128 0.0037743417 0.0038168866 0.004634357 0.0042484137 0.003652785 0.003652785 0.0037895364 0.0035828897 0.004111662 0.0035038777 0.0035099555 0.003929327 0.0035...
-1
4d0f4acaae33c46afb42389061cbd1f25377d1b15026e2bca66a011964a4f52a
2018-04
-1
nan
train
[ 0.04268062487244606, 0.0032532219775021076, 0.0016089207492768764, 0.0011445538839325309, 0.002760108560323715, 0.0015868081245571375, 0.0009663254604674876, 0.0011056355433538556, 0.0032894867472350597, 0.0007398912566713989, 0.000904852116946131, 0.0008929112227633595, 0.002041003201156854...
0.042680625 0.003253222 0.0016089207 0.0011445539 0.0027601086 0.0015868081 0.00096632546 0.0011056355 0.0032894867 0.00073989126 0.0009048521 0.0008929112 0.0020410032 0.00090175634 0.0007836745 0.0020551553 0.0025615364 0.00088141265 0.0014032726 0.0007659843 0.00096411415 0.0009415592 0.0007407758 0.0011874526 0.001...
1
9d4d521dd33eaeb76743108fc1423683011a9d615ade2a50a3237ac2a1a6fc56
2018-04
1
fareit
train
[ 0.13397422432899475, 0.014113315381109715, 0.011352014727890491, 0.01278380025178194, 0.010431581176817417, 0.005624872166663408, 0.007363468874245882, 0.003681734437122941, 0.010431581176817417, 0.004908979404717684, 0.003477193647995591, 0.004499897826462984, 0.0066475761123001575, 0.003...
0.13397422 0.014113315 0.011352015 0.0127838 0.010431581 0.005624872 0.007363469 0.0036817344 0.010431581 0.0049089794 0.0034771936 0.004499898 0.006647576 0.0037840048 0.0032726529 0.0086929845 0.011454285 0.004806709 0.0033749233 0.0021476785 0.005624872 0.0029658417 0.0034771936 0.0024544897 0.002761301 0.001534056 ...
1
561296dc3549698f4fa464243db326c03a03ad41e9562554d484de3305a8b298
2018-04
1
vtflooder
train
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0
78d40da363713670fbaa571663d8ea380f1a5ba8c7e8976ebbdffc8ed37085d4
2018-04
0
nan
train
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1
cbcb16095152fc4763cf6cf3cb0de754ab3d6fdbeb09e47fa1a25783bd45896f
2018-04
1
skypespam
train
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1
8d4c27f917e090b0d7be20142d2894e9fbc698dd623b3f8455a8296c0b303dc3
2018-04
1
vtflooder
train
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1
24ea13c5044821dfd468c2558ad9fc23007c4d8652827981c788406e6dd58db8
2018-04
1
vtflooder
train
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0
bb7e48deba046ad2db0a0813114aa208aa0d6e17db2e2ce6343ea460ce9c7cea
2018-04
0
nan
train
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1
dd4812819a5f9cee377c27c5e5330f829edb23e7707664dc0d7f48eead6e3994
2018-04
1
adposhel
train
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-1
ae550fcccf9b9f929b8ef8fbfe696fe48daac636c3a8d1ef8267b588e5a219c2
2018-04
-1
nan
train
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0
7d5c8fbb6601f7d4241291d2c1675e136de9759673740d7e7266cdcb2eb939a4
2018-04
0
nan
train
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-1
130fe11cdaf5c11fa9ed24f5c242c2202fb104f644c72637f6f18fa5a31e5adf
2018-04
-1
nan
train
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0
36976311e3d54a8133f049f6b042621f6449d0dfba4306c7a1ccc683ca8f6088
2018-04
0
nan
train
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1
fc6372519181abca40a9add5bdf7970b96c861215a6e37a242bb1a5e35cfdd47
2018-04
1
vtflooder
train
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-1
97e82cd9b05bdadc19aaa2f709a48aba91d8bc2f1350ee0a3269c6134654655c
2018-04
-1
nan
train
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1
e49cd19c5f399185f84082d8a40e0fb82b2a4dde064595fe837d369d1564bdad
2018-04
1
vtflooder
train
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0
a2647117410cb8f85d4de8d3b01dcc886de1246f3423b640cf18e52da278d00a
2018-04
0
nan
train
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1
4e8f8a81ae082dbae3ffb04ceeb02ec7fdbaa25ed4af732ea7aeec67a63604a2
2018-04
1
scar
train
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1
20c9006a83d706b76baac45b7561a7c359f4c47b051b96628dbd201cb5c276c0
2018-04
1
vtflooder
train
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0.042682353 0.0036832804 0.0020388956 0.0011446121 0.0027598066 0.0015860043 0.0013967098 0.001536027 0.0032896542 0.0007399289 0.0017651264 0.0008929567 0.0020406647 0.00047190924 0.0003533791 0.0016249246 0.0021313315 0.0013109081 0.0005426735 0.0016258091 0.0009641632 0.0009416071 0.0007403712 0.00032728477 0.001164...
-1
59d8a8d9ec28d169adbf585f59244b0027c71b840af28746e595be1d22063756
2018-04
-1
fareit
train
[ 0.619140625, 0.007533482275903225, 0.0027901786379516125, 0.0025111606810241938, 0.004464285913854837, 0.00027901786961592734, 0.001953125, 0.0005580357392318547, 0.0011160714784637094, 0.0013950893189758062, 0.0005580357392318547, 0.0011160714784637094, 0.0005580357392318547, 0.0011160714...
0.6191406 0.0075334823 0.0027901786 0.0025111607 0.004464286 0.00027901787 0.001953125 0.00055803574 0.0011160715 0.0013950893 0.00055803574 0.0011160715 0.00055803574 0.0011160715 0.0011160715 0.00055803574 0.010602678 0.001953125 0.0041852677 0.001953125 0.00055803574 0.00027901787 0.0008370536 0.00027901787 0.000279...
0
4aba7594b7526b68e4f735483d00ae2ddac0f71687517e26e82689d03edbe604
2018-04
0
nan
train
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0.7441581 0.0014992222 0.0011127334 0.0011175678 0.001302352 0.0011640324 0.00089303363 0.00093949825 0.0012999347 0.00090726843 0.00090485124 0.00087396434 0.0010388735 0.00091049145 0.00088229036 0.0011258938 0.0011385172 0.0008820218 0.0008546265 0.0008621468 0.0009886486 0.0009913344 0.0008503292 0.00085059775 0.00...
1
b48366b882b83b2926f3a5649e9bdbdde8618c0cfe22d3d90975d9ff54413322
2018-04
1
wannacry
train
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0.9291992 0.0014648438 0.0034179688 0.0 0.0024414062 0.0 0.0009765625 0.0 0.0 0.00048828125 0.0009765625 0.00048828125 0.0 0.0009765625 0.0009765625 0.0 0.0053710938 0.0 0.00048828125 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.00048828125 0.0 0.0 0.0 0.0 0.00048828125 0.0014648438 0.0014648438 0.00048828125 0.0 0.00048828125 0.0 0....
0
aded9387962bc939a5a1bfdaab9b0f202e5bd6877bd05699e758da9b121881ec
2018-04
0
nan
train
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0.0062140697 0.0040622167 0.003901224 0.0039810864 0.003933866 0.0039354507 0.003945275 0.0039262604 0.004035279 0.0038270657 0.0038964702 0.003875237 0.0038590743 0.0038828428 0.0038498838 0.0039500287 0.0039322814 0.003915485 0.0038578066 0.0038635111 0.003856222 0.003967776 0.0038457639 0.0038533697 0.0038853781 0.0...
-1
4229cf6869b16289430cd80d1e5725cdb28333412b0677816e097e0f5277af09
2018-04
-1
minerbot
train
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0.24170053 0.022521155 0.0061560962 0.004002248 0.044359848 0.008074313 0.006965971 0.0040650833 0.009053494 0.0017960372 0.001670367 0.0012811383 0.006332384 0.0013457189 0.0009477631 0.0043687862 0.0045799823 0.0015656417 0.0009582356 0.0015429513 0.0025081686 0.002693183 0.0010437611 0.0008203474 0.0020578501 0.0011...
-1
a6ae34d3a2d522a668dce3d24b3e4ca23bb3b32595efb9ea3378a671d6d0e201
2018-04
-1
virut
train
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0.1464075 0.014198169 0.0059177275 0.0065988805 0.010546651 0.0043253778 0.0033182364 0.0031762829 0.012081209 0.0020681468 0.0020176494 0.0026718704 0.0073742955 0.001946392 0.0018532525 0.0066791154 0.03838247 0.002070391 0.0010138744 0.0041548093 0.008906609 0.0065955142 0.0029608274 0.0045054853 0.004791076 0.00362...
0
e00dc7ec6a82d3aa9bce5ed5ddc5f3f352296560cf45ed3b7639dad0ad9b6efd
2018-04
0
nan
train
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0
9bbc4c2051cd369b9c66e67e30bcc2638937800a1565b832df42b35352550c85
2018-04
0
nan
train
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0
abd739a6547c8d4b2b3ba03614f8dc358865ab356980b0aebacdbfc5d2b2cd9a
2018-04
0
nan
train
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0
a9aff189d7bfc37bf96d6df4cd374f659ebc348220241313c1a96a1d095fb233
2018-04
0
nan
train
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0
9631d209712553c1659d8227828ac389681e509d19d8be1f8e07161e9bab7b65
2018-04
0
nan
train
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1
d8bf3836086c347659032193a2e4872c0ed158ed6a0ad5a233d9acaf02242b70
2018-04
1
filetour
train
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-1
c6839252192d045a8a6856eccc6812771d0a6ba38251077c943c4388a5044805
2018-04
-1
nan
train
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1
0a7a4224f50fbe513ce8c4915647530cb695e6e269f7ef66c0acc5069f500bef
2018-04
1
adposhel
train
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1
1ce3e3b07f58123957e0b85e6082f784f3d9d861f05f17f407d3a3b5c09a0b82
2018-04
1
zdengo
train